Package: mitml 0.4-5
mitml: Tools for Multiple Imputation in Multilevel Modeling
Provides tools for multiple imputation of missing data in multilevel modeling. Includes a user-friendly interface to the packages 'pan' and 'jomo', and several functions for visualization, data management and the analysis of multiply imputed data sets.
Authors:
mitml_0.4-5.tar.gz
mitml_0.4-5.zip(r-4.5)mitml_0.4-5.zip(r-4.4)mitml_0.4-5.zip(r-4.3)
mitml_0.4-5.tgz(r-4.4-any)mitml_0.4-5.tgz(r-4.3-any)
mitml_0.4-5.tar.gz(r-4.5-noble)mitml_0.4-5.tar.gz(r-4.4-noble)
mitml_0.4-5.tgz(r-4.4-emscripten)mitml_0.4-5.tgz(r-4.3-emscripten)
mitml.pdf |mitml.html✨
mitml/json (API)
NEWS
# Install 'mitml' in R: |
install.packages('mitml', repos = c('https://simongrund1.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/simongrund1/mitml/issues
- justice - Example data set on employees' justice perceptions and satisfaction
- leadership - Example data set on leadership style and job satisfaction
- studentratings - Example data set on student ratings and achievement
imputationmissing-datamixed-effectsmultilevel-datamultilevel-models
Last updated 10 months agofrom:1b347258e4. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 03 2024 |
R-4.5-win | OK | Oct 03 2024 |
R-4.5-linux | OK | Oct 03 2024 |
R-4.4-win | OK | Oct 03 2024 |
R-4.4-mac | OK | Oct 03 2024 |
R-4.3-win | OK | Oct 03 2024 |
R-4.3-mac | OK | Oct 03 2024 |
Exports:amelia2mitml.listanova.mitml.resultas.mitml.listc.mitml.listcbind.mitml.listclusterMeansconfint.mitml.testEstimatesis.mitml.listjomo2mitml.listjomoImputelong2mitml.listmids2mitml.listmitml.list2midsmitmlCompletemultilevelR2panImputeplot.mitmlrbind.mitml.listread.mitmlsort.mitml.listsubset.mitml.listsummary.mitmltestConstraintstestEstimatestestModelswith.mitml.listwithin.mitml.listwrite.mitmlwrite.mitmlMpluswrite.mitmlSAVwrite.mitmlSPSS
Dependencies:bitbit64bootclicliprcpp11crayonfansiforcatsgluehavenhmsjomolatticelifecyclelme4magrittrMASSMatrixminqanlmenloptrnumDerivordinalpanpillarpkgconfigprettyunitsprogressR6RcppRcppEigenreadrrlangsurvivaltibbletidyselecttzdbucminfutf8vctrsvroomwithr
Analysis of Multiply Imputed Data Sets
Rendered fromAnalysis.Rmd
usingknitr::rmarkdown
on Oct 03 2024.Last update: 2023-01-05
Started: 2017-10-19
Imputation of Missing Data at Level 2
Rendered fromLevel2.Rmd
usingknitr::rmarkdown
on Oct 03 2024.Last update: 2023-01-05
Started: 2017-10-19
Introduction
Rendered fromIntroduction.Rmd
usingknitr::rmarkdown
on Oct 03 2024.Last update: 2023-01-05
Started: 2017-03-14